Näytä suppeat kuvailutiedot

dc.contributor.authorChang, Zheng
dc.contributor.authorZhang, Shan
dc.contributor.authorWang, Zhongyu
dc.contributor.authorGuo, Xijuan
dc.contributor.authorHan, Zhu
dc.contributor.authorRistaniemi, Tapani
dc.date.accessioned2018-11-30T12:21:41Z
dc.date.available2018-11-30T12:21:41Z
dc.date.issued2018
dc.identifier.citationChang, Z., Zhang, S., Wang, Z., Guo, X., Han, Z., & Ristaniemi, T. (2018). Energy efficient optimisation for large-scale multiple-antenna system with WPT. <i>IET Communications</i>, <i>12</i>(5), 552-558. <a href="https://doi.org/10.1049/iet-com.2017.0472" target="_blank">https://doi.org/10.1049/iet-com.2017.0472</a>
dc.identifier.otherCONVID_27985025
dc.identifier.otherTUTKAID_77269
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/60413
dc.description.abstractIn this study, an energy-efficient optimisation scheme for a large-scale multiple-antenna system with wireless power transfer (WPT) is presented. In the considered system, the user is charged by a base station with a large number of antennas via downlink WPT and then utilises the received power to carry out uplink data transmission. Novel antenna selection, time allocation and power allocation schemes are presented to optimise the energy efficiency of the overall system. In addition, the authors also consider channel state information cannot be perfectly obtained when designing the resource allocation schemes. The non-linear fractional programming-based algorithm is utilised to address the formulated problem. Their proposed schemes are validated by extensive simulations and it shows superior performance over the existing schemes.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherIET
dc.relation.ispartofseriesIET Communications
dc.rightsIn Copyright
dc.subject.otherlangattomat verkotfi
dc.subject.otherantennijärjestelmätfi
dc.subject.othersähkönsiirtofi
dc.subject.otherenergiatehokkuusfi
dc.subject.otheroptimointifi
dc.subject.otherwireless networksfi
dc.subject.otherantenna systemsfi
dc.subject.othertransmission of electricityfi
dc.subject.otherenergy efficiencyfi
dc.subject.otheroptimisationfi
dc.titleEnergy efficient optimisation for large-scale multiple-antenna system with WPT
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201811194769
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2018-11-19T07:15:19Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange552-558
dc.relation.issn1751-8628
dc.relation.numberinseries5
dc.relation.volume12
dc.type.versionacceptedVersion
dc.rights.copyright© IET Communications, 2018.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber284748
dc.subject.ysoenergiatehokkuus
dc.subject.ysooptimointi
dc.subject.ysosähkönsiirto
dc.subject.ysoantennijärjestelmät
dc.subject.ysolangattomat verkot
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p8328
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
jyx.subject.urihttp://www.yso.fi/onto/yso/p19716
jyx.subject.urihttp://www.yso.fi/onto/yso/p16154
jyx.subject.urihttp://www.yso.fi/onto/yso/p24221
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1049/iet-com.2017.0472
dc.relation.funderSuomen Akatemiafi
dc.relation.funderResearch Council of Finlanden
jyx.fundingprogramKV-yhteishanke, SAfi
jyx.fundingprogramJoint International Project, AoFen
jyx.fundinginformationThis work is partly supported by the Academy of Finland (Decision number 284748), Hebei NSF (E2017203351), U.S. National Natural Science Foundation under Grant CNS-1702850, Grant CNS-1646607, Grant ECCS-1547201, Grant CCF-1456921, Grant CMMI-1434789, Grant CNS-1443917, and Grant ECCS-1405121.
dc.type.okmA1


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot

In Copyright
Ellei muuten mainita, aineiston lisenssi on In Copyright